SOTAVerified

Computational Efficiency

Methods and optimizations to reduce the computational resources (e.g., time, memory, or power) needed for training and inference in models. This involves techniques that streamline processing, optimize algorithms, or leverage hardware to enhance performance without compromising accuracy.

Papers

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Showing 3761–3770 of 4891 papers

TitleStatusHype
ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse KinematicsCode0
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue SystemsCode0
Bottom-up and top-down approaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligence—0
Smart Online Charging Algorithm for Electric Vehicles via Customized Actor-Critic Learning—0
A Question of Time: Revisiting the Use of Recursive Filtering for Temporal Calibration of Multisensor Systems—0
Sub-Character Tokenization for Chinese Pretrained Language ModelsCode1
Pixel super-resolved lensless on-chip sensor with scattering multiplexing—0
Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image RecognitionCode1
TransCamP: Graph Transformer for 6-DoF Camera Pose Estimation—0
Robust Regularization with Adversarial Labelling of Perturbed Samples—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified